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How are you leveraging AI as a product marketer for your competitive intelligence program?

Interested to know how folks have built out an operational strategy for the collection, analysis, and distribution of competitive intelligence using AI (custom GPTs or LLMs)

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5 Answers
  1. Vikas Bhagat
    Vikas Bhagat

    Lovable Head of Product Marketing • 10mo

    Great question and one of the best use cases I've seen for AI within PMM. Always-on signal capture → exec summaries. We monitor competitor sites, pricing, release notes, and public chatter; AI classifies changes (pricing/packaging/product/messaging) and produces daily digests + a monthly exec review so leaders get the “what changed + so what” fast. Custom “Competitive Briefs” GPT. Grounded in our internal battlecard deck, customer-facing 2-pagers, and competitive hubs/dashboards, it drafts one-p ...Read More

    11,298 Views
  2. Charlotte Evans Will

    Peregrine Vice President of Product Marketing • 1y

    We are using AI for our competitive intelligence program in two ways right now:  (1) product intelligence for competitive offerings Rather than manually build and maintain feature lists for our competitors which then immediately get out of date, we have an internal answer bot that will scrap the web to answer whether a competitor has xyz feature. Any seller can submit a prompt to our answer bot which greatly reduces the burden on PMM fielding repetitive questions. (2) the tl;dr for real time com ...Read More

    988 Views
  3. Ross Gordon
    Ross Gordon

    Slack Senior Product Marketing Lead, Growth | Formerly LinkedIn, Sounder • 9mo

    One way I've used AI for competitive intelligence is to build social listening agents that scrape and analyze trends on Reddit, LinkedIn, and X to inform our marketing strategy. For example, I set up an agent in relay.app to scrape all of our competitors posts in a given week and then write an Axios-style memo to the broader marketing team with the insights. This ensures that we aren't missing any major announcements from our competition, we understand what types of content is resonating with ou ...Read More

    246 Views
  4. Srini Sekaran
    Srini Sekaran

    Docker Principal PMM, AI | Formerly AWS, Salesforce, startups • 5mo

    Others captured the value of always-on competitive: real-time updates on the competitor and market (hourly, not monthly) has been helpful to create stories that are fresh and relevant. Being super aware of the market, whether that's through AI tooling to retrieve more updates or scrolling yourself on tech social spaces, helps write content that wins: you're really speaking the exact words and lingo that are top of mind for them. In addition, it's been a good sidekick to make sense of more update ...Read More

    189 Views
  5. Samridhi Anand
    Samridhi Anand

    NetraScale Product Marketing & Strategy | Formerly BeeHyv Software, Debtstream, Willaim O'Neil Inc • Jul 6

    I'm still evolving my AI workflow, but today I use it more as an intelligence layer than just a content generator. For competitive intelligence, I use AI to monitor competitor product updates, release notes, pricing changes, funding news, customer reviews, and messaging shifts. Instead of manually going through dozens of sources, I use LLMs to summarise what's changed, identify patterns, and highlight what actually matters for our GTM strategy. I also use AI to compare our positioning against co ...Read More

    168 Views

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